Today supply chain network is recognized as the main bases in economic activity. Their significance is due to just in time delivery and the efficiency of different commodities including food, clothing, energy, computer hardware. This has stimulated researchers and exper More
Today supply chain network is recognized as the main bases in economic activity. Their significance is due to just in time delivery and the efficiency of different commodities including food, clothing, energy, computer hardware. This has stimulated researchers and experts to analyze supply chain problems. Meanwhile, uncertainty has penetrated every level of our lives and we encounter it every day. The present paper focuses on green supply chain that consider uncertainty conditions to solve a model for designing a forward green supply network (environmental)under uncertainty of future economic conditions in Iran Khodro Company. The problem of designing the aforementioned network includes hypotheses including multi-commodity, multi-layer and one-period. Due to inconsistent economic conditions, uncertainty has been differently tackled here as compared with previous literature. In this problem, several important parameters have been considered as indefinite including customers’ demands, operating expenses, the productive capacity and relocating capacity of facilities. The proposed model also considers the contamination of production section and the transportation system of the chain and tries to reduce it by suggesting an objective function and Eco-indicator 99 method. As well, production and distribution centers operate in a dual-purpose manner. Saving costs and reducing contamination due to applying transportation supplies and common infrastructures are among the benefits of this method. Considering the complexity of solving this problem and its NP-hard nature, the meta heuristic method of genetic algorithm with non-dominated sorting (NSGAII) was analyzed and finally model performance was examined with a numerical example and solving it with MATLAB and GAMS software.
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افزایش آلودگی زیست‌محیطی که موجب گرم شدن کره زمین شده است و برای سلامت انسان و تخریب محیط‌زیست خطرناک است، باعث نگرانی بسیاری از طراحان و مدیران زنجیره تأمین‌شده است. هدف این پژوهش ارائه یک مدل ریاضی برای طراحی خرید، تولید و توزیع در یک شبکه زنجیره تأمین چند سطحی و چند More
افزایش آلودگی زیست‌محیطی که موجب گرم شدن کره زمین شده است و برای سلامت انسان و تخریب محیط‌زیست خطرناک است، باعث نگرانی بسیاری از طراحان و مدیران زنجیره تأمین‌شده است. هدف این پژوهش ارائه یک مدل ریاضی برای طراحی خرید، تولید و توزیع در یک شبکه زنجیره تأمین چند سطحی و چند محصولی است که تأثیرات زیست‌محیطی و هزینه‌های کلی زنجیره تأمین به حداقل برساند و سطح رضایت مشتری به بالاترین سطح برسد. عدم اطمینان تقاضا به خاطر نامشخص بودن سطح تقاضا به نظر مشکل‌ساز است. با توجه به پیچیدگی مدل ریاضی پیشنهادی و سختی‌های حل مسئله با روش‌های دقیق در اندازه بزرگ، یک NSGA II پیشنهادشده است. برای ارزیابی NSGA II پیشنهادی، 5 نمونه در اندازه‌های مختلف ساخته می‌شود و به‌وسیله روش محدودیت اپسیلون و NSGAII حل می‌شود. بر اساس نتایج به‌دست‌آمده، NSGA II پیشنهادی یک روش قابل‌اطمینان برای یافتن مرزهای پارتویی کارآمد در زمان قابل‌قبول محسوب می‌شود.
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A product when at the number of appropriate and timely delivered to the customer at the appropriate time is worth. Today, companies and people are facing the challenges of agility and pivotal values that the use of both approaches and combine them there is no in analyti More
A product when at the number of appropriate and timely delivered to the customer at the appropriate time is worth. Today, companies and people are facing the challenges of agility and pivotal values that the use of both approaches and combine them there is no in analytic model of the supply chain and the previous literature. In this paper, a study based on linear integer modeling in the field of supply chain network design has been done to address this gap research. Supply chain proposed in three levels of manufacturers, distributors and customers is proposed for multi-objective, multi-product and multi-period. The objective functions is including: Maximizing agility and pivotal values. To solve the Mathematical model is used from GAMS program. Then multi-objective genetic algorithm using non-dominated sorting members of the population proposed and Meta heuristic algorithm and GAMS`s results are Compared to Validate proposed algorithm. In the End, results are analyzed.
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